{"id":6833,"date":"2018-03-16T08:22:17","date_gmt":"2018-03-15T23:22:17","guid":{"rendered":"http:\/\/ircn.jp\/?p=6833"},"modified":"2020-06-05T09:28:57","modified_gmt":"2020-06-05T00:28:57","slug":"cubic-x-a-new-method-to-implement-single-cell-based-whole-brain-imaging","status":"publish","type":"post","link":"https:\/\/ircn.jp\/en\/pressrelease\/cubic-x-a-new-method-to-implement-single-cell-based-whole-brain-imaging","title":{"rendered":"CUBIC-X: A New Method to Implement Single-cell Based Whole-brain Imaging"},"content":{"rendered":"<p>The brain is a complex object like the universe comprising intricate networks with a tremendous amount of neuronal cells. To understand this structural complexity and its functions, brain atlases that can show fine-scale structures and connections of cellular circuits are a requisite tool for neuroscientists.<br \/>\nRecently, Ueda and his team developed a fluorescent-protein-compatible, intensive tissue-clearing method combined with a tissue expansion protocol, CUBIC-X, which enables seamless imaging of the whole mouse brain. They succeeded in improving the transparency of brain tissue and constructed a point-based mouse brain atlas with single cell annotation (CUBIC-Atlas). Using this 3-D whole-brain atlas, future studies can add activity\/gene expression mapping and explore undefined anatomical areas.<br \/>\nThe editable CUBIC-Atlas is available to the research community and public <strong><a href=\"http:\/\/cubic-atlas.riken.jp\" target=\"_blank\" rel=\"noopener noreferrer\"> (http:\/\/cubic-atlas.riken.jp)<\/a><\/strong> as a single-cell-resolution platform for unbiased systems-level analysis of mammalian brain.<\/br><\/p>\n<p><img decoding=\"async\" loading=\"lazy\" src=\"http:\/\/ircn.jp\/wp-content\/uploads\/2018\/03\/5_Ueda_image_E-1024x548.jpg\" alt=\"\" width=\"887\" height=\"475\" class=\"aligncenter size-large wp-image-8628\" srcset=\"https:\/\/ircn.jp\/wp-content\/uploads\/2018\/03\/5_Ueda_image_E-1024x548.jpg 1024w, https:\/\/ircn.jp\/wp-content\/uploads\/2018\/03\/5_Ueda_image_E-300x160.jpg 300w, https:\/\/ircn.jp\/wp-content\/uploads\/2018\/03\/5_Ueda_image_E-768x411.jpg 768w, https:\/\/ircn.jp\/wp-content\/uploads\/2018\/03\/5_Ueda_image_E-103x55.jpg 103w, https:\/\/ircn.jp\/wp-content\/uploads\/2018\/03\/5_Ueda_image_E-947x506.jpg 947w, https:\/\/ircn.jp\/wp-content\/uploads\/2018\/03\/5_Ueda_image_E-624x334.jpg 624w, https:\/\/ircn.jp\/wp-content\/uploads\/2018\/03\/5_Ueda_image_E.jpg 1887w\" sizes=\"(max-width: 887px) 100vw, 887px\" \/><br \/>\nA reconstructed whole brain image based on the acquisition of image data comprising more than 1 million sheets (Whole brain field), Partly-reconstructed brain image data (Magnified View1), Reconstructed image data focusing on neurons (Magnified View2), Reconstructed image data focusing synaptic structure (Magnified View3)<\/p>\n<p><strong>Please watch the movie version below:<\/strong><br \/>\n<div style=\"width: 720px;\" class=\"wp-video\"><video class=\"wp-video-shortcode\" id=\"video-6833-2\" width=\"720\" height=\"480\" preload=\"metadata\" controls=\"controls\"><source type=\"video\/mp4\" src=\"http:\/\/ircn.jp\/wp-content\/uploads\/2018\/03\/720.mp4?_=2\" \/><a href=\"http:\/\/ircn.jp\/wp-content\/uploads\/2018\/03\/720.mp4\">http:\/\/ircn.jp\/wp-content\/uploads\/2018\/03\/720.mp4<\/a><\/video><\/div><\/p>","protected":false},"excerpt":{"rendered":"The brain is a complex object like the universe comprising intricate networks with a tremendous amount of neuronal cells. To understand this structural complexity and its functions, brain atlases that [&hellip;]","protected":false},"author":1,"featured_media":6839,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_links_to":"","_links_to_target":""},"categories":[185],"tags":[],"acf":[],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 4.9.9 - aioseo.com -->\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<meta name=\"author\" content=\"k_kiyokawa\"\/>\n\t<link rel=\"canonical\" href=\"https:\/\/ircn.jp\/en\/pressrelease\/cubic-x-a-new-method-to-implement-single-cell-based-whole-brain-imaging\" \/>\n\t<meta name=\"generator\" content=\"All in One SEO (AIOSEO) 4.9.9\" \/>\n\t\t<meta property=\"og:locale\" content=\"en_US\" \/>\n\t\t<meta property=\"og:site_name\" content=\"| The University of Tokyo International Research Center for Neurointelligence\" \/>\n\t\t<meta property=\"og:type\" content=\"article\" \/>\n\t\t<meta 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